Instructor at ADA Egypt | Medical Student & Tech Educator | Python & SQL Expert | Certified by Harvard, IBM & Google | Open to Remote Global Opportunities
Bridging the gap between Clinical Medicine and Advanced Data Science.
As a Medical Student and a Medical Data Specialist with 2.5 years of experience in the field, I don't just analyze numbers; I decode the stories they tell to improve healthcare outcomes.
My journey is fueled by a double passion: mastering the human body and mastering the code that analyzes its data. Currently, I serve as a Python & SQL Instructor at ADA Egypt, where I help others navigate the world of data.
My technical expertise is backed by international certifications from Harvard University (CS50), IBM, Google, and Oracle, alongside specialized health data training from WHO and UNICEF.
I am passionate about leveraging Machine Learning and Statistical Analysis to solve complex healthcare puzzles. I am currently open to Remote Global Opportunities where I can contribute to data-driven decision-making in the medical field.
Performed a large-scale analysis of the NHANES dataset (2011-2023) to identify key predictors for chronic diseases (diabetes and hypertension).
Interactive web application using Streamlit that enables users to upload time-series data, train forecasting models (ARIMA, Prophet), and visualize future sales predictions.
Analyzed a global survey of 1,259 tech professionals to identify workplace mental health trends using sentiment scoring and statistical tests.
Analyzed over 9,800 retail transactions. conducted RFM segmentation to categorize customers and utilized time series analysis for sales trends.
Evaluated the performance of a new store layout trial by comparing sales revenue and customer behavior against control stores.
Suez Canal University — Ismailia, Egypt
Expected 2030
Harvard Business School — Online
2025
Assiut STEM School — Assiut, Egypt
2023
Feel free to reach out for collaborations or just to say hi.